作者位次 #4/9ACL 2026Poster· Natural Language Processing
Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS -Guided Reasoning Reconstruction
Tao Wu · Jingyuan Chen · Wang Lin · Jian Zhan · Mengze Li · Fangzhou Jin · Min Zhang · Kun Kuang · Fei Wu
摘要
Distractors—incorrect yet plausible answer choices in multiple-choice questions (MCQs)—are vital in educational assessments, as they help identify student misconceptions by presenting potential reasoning errors. Current distractor generation methods typically produce shared distractors for all st...